The role involves working with the Qualcomm AI Hub Workbench Cloud Services team to develop and maintain on-device ML profiler applications across Android, Linux, and Windows platforms. The team focuses on integrating ML runtime frameworks and collaborating with various partner teams to enhance the functionality of the AI Hub. This position offers the opportunity to work on cutting-edge hardware and ML frameworks while addressing operational challenges in device integrations. Candidates will have a significant impact on the Qualcomm AI Hub Workbench device roadmap and the overall developer experience.

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of relevant experience, or a Master's degree with 3+ years, or a PhD with 2+ years.
• 3+ years of industry experience in ML frameworks or C++ systems engineering.
• Proficient in Python.
• Experience with ML model concepts including graphs, operators, shapes, and backend lowering.
• Experience with cross-platform C++ development, CMake, Android, Linux, and Windows.
• Strong written and verbal communication skills.

• Design, develop, and maintain on-device ML profiler applications for multiple operating systems.
• Integrate and support ML runtime frameworks in the on-device profiler.
• Collaborate with partner teams to define requirements and new features.
• Bring up new Qualcomm hardware in the AI Hub Workbench.
• Support operational issues related to device integrations.
• Collaborate with other AI Hub teams to provide device and ML runtime support.

• Qualcomm offers competitive compensation, annual bonuses, stock programs, comprehensive healthcare coverage, retirement plans, wellness programs, parental leave, flexible work options, and professional development opportunities.